Jaxon is a semi-supervised data labeling solution able to bootstrap a small number of human-provided labels into full-scale training data for text-oriented machine learning applications.

Machine Learning is currently powered by armies of humans. Machines cannot ‘read’ raw text, and it takes months and massive amounts of manpower to label the millions to billions of examples needed to train complex machine learning applications. By the time the data is labeled, it is frequently already outdated.